Triple
T16964371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tulu cinema |
E411505
|
entity |
| Predicate | notableDirector |
P4744
|
FINISHED |
| Object |
Upendra Shetty
Upendra Shetty is a prominent film director known for his significant contributions to Tulu-language cinema.
|
E1244827
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Upendra Shetty | Statement: [Tulu cinema, notableDirector, Upendra Shetty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Upendra Shetty Context triple: [Tulu cinema, notableDirector, Upendra Shetty]
-
A.
Pavun Shetty
Pavun Shetty is a television producer best known for his executive production work on the hit superhero series "The Boys."
-
B.
Rajendra Arlekar
Rajendra Arlekar is an Indian politician and member of the Bharatiya Janata Party who has served as a state governor and previously held roles in legislative and party leadership.
-
C.
Sunil Sukthankar
Sunil Sukthankar is an acclaimed Indian filmmaker known for his influential work in contemporary Marathi cinema, often focusing on socially relevant and realistic themes.
-
D.
Achyut Potdar
Achyut Potdar is an Indian character actor known for his numerous supporting roles in Hindi films and television.
-
E.
Shri Kulkarni
Shri Kulkarni is an astrophysicist known for pioneering work in pulsar astronomy and the discovery of the first millisecond pulsar.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Upendra Shetty Triple: [Tulu cinema, notableDirector, Upendra Shetty]
Generated description
Upendra Shetty is a prominent film director known for his significant contributions to Tulu-language cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Upendra Shetty Target entity description: Upendra Shetty is a prominent film director known for his significant contributions to Tulu-language cinema.
-
A.
Pavun Shetty
Pavun Shetty is a television producer best known for his executive production work on the hit superhero series "The Boys."
-
B.
Rajendra Arlekar
Rajendra Arlekar is an Indian politician and member of the Bharatiya Janata Party who has served as a state governor and previously held roles in legislative and party leadership.
-
C.
Sunil Sukthankar
Sunil Sukthankar is an acclaimed Indian filmmaker known for his influential work in contemporary Marathi cinema, often focusing on socially relevant and realistic themes.
-
D.
Achyut Potdar
Achyut Potdar is an Indian character actor known for his numerous supporting roles in Hindi films and television.
-
E.
Shri Kulkarni
Shri Kulkarni is an astrophysicist known for pioneering work in pulsar astronomy and the discovery of the first millisecond pulsar.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d0a2cda88190bd574a869f0e43e9 |
completed | April 18, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc09386c819088bdb2548f3fb5c8 |
completed | May 10, 2026, 7:27 p.m. |
| NEDg | Description generation | batch_6a0114d33cac819083d8e542ea5bc274 |
completed | May 10, 2026, 11:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0115c967b0819088e2335fd45d755b |
completed | May 10, 2026, 11:33 p.m. |
Created at: April 10, 2026, 5:31 a.m.